Mintong Kang

About Me

I am Mintong Kang, a third-year Ph.D. student at UIUC CS advised by Prof. Bo Li. My research interest lies in trustworthy machine learning and AI safety. I am interested in uncovering the vulnerability of advanced ML models and developing certifiable defense mechanisms to safeguard their universal deployments. I am recently working on the trustworthiness of multi-modal models (VLM, audio/video LLMs) and LLM agent systems.

Before that, I got the bachelor of engineering degree from the CS department of Zhejiang University. I work with Prof. Xi Li at DCD Lab @ Zhejiang University. I also luckily work with Prof. Alan L. Yuille at CCVL Lab @ Johns Hopkins University.

News

• [Jan. 2025] Four papers accepted to ICLR 2025.
• [May. 2024] Two papers accepted to ICML 2024.
• [Jan. 2024] One paper accepted to ICLR 2024.
• [Dec. 2023] One paper selected as Outstanding Paper Award in NeurIPS 2023.
• [Nov. 2023] Received NeurIPS 2023 Scholar Award.
• [Sep. 2023] Two papers accepted to NeurIPS 2023.
• [Jun. 2023] Organized KLR workshop at ICML 2023.
• [Nov. 2022] One paper accepted to SaTML 2023.
• [Oct. 2022] Received NeurIPS 2022 Scholar Award.
• [Sep. 2022] Two papers accepted to NeurIPS 2022.

Research Papers

• $R^2$-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning
  Mintong Kang, Bo Li
  [ICLR 2025] (Thirteenth International Conference on Learning Representations)
  [PDF] [Code]

• AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models
  Mintong Kang, Chejian Xu, Bo Li
  [ICLR 2025] (Thirteenth International Conference on Learning Representations)
  [PDF] [Code]

• MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models
  Chejian Xu*, Jiawei Zhang*, Zhaorun Chen*, Chulin Xie*, Mintong Kang*, Zhuowen Yuan*, Zidi Xiong*, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Ziwei Tan, Zhun Wang, Alexander Xiong, Xuandong Zhao, Yu Gai, Francesco Pinto, Yujin Potter, Zhen Xiang, Zinan Lin, Dan Hendrycks, Dawn Song, Bo Li
  [ICLR 2025] (Thirteenth International Conference on Learning Representations)
  [PDF] [Code]

• EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage
  Zeyi Liao*, Lingbo Mo*, Chejian Xu, Mintong Kang, Jiawei Zhang, Chaowei Xiao, Yuan Tian, Bo Li, Huan Sun
  [ICLR 2025] (Thirteenth International Conference on Learning Representations)
  [PDF] [Code]

• C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
  Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li
  [ICML 2024] (Forty-first International Conference on Machine Learning)
  [PDF] [Code]

• Certifiably Byzantine-Robust Federated Conformal Prediction
  Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li
  [ICML 2024] (Forty-first International Conference on Machine Learning)
  [PDF] [Code]

• COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction Via Probablistic Circuits
  Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li
  [ICLR 2024] (Twelfth International Conference on Learning Representations)
  [PDF] [Code]

• DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
  Boxin Wang*, Weixin Chen*, Hengzhi Pei*, Chulin Xie*, Mintong Kang*, Chenhui Zhang*, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
  [NeurIPS 2023] (Outstanding Paper Award, Oral) (Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track)
  [PDF] [Code]

• DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
  Mintong Kang, Dawn Song, Bo Li
  [NeurIPS 2023] (Thirty-seventh Conference on Neural Information Processing Systems)
  [PDF] [Code]

• Certifying Some Distributional Fairness with Subpopulation Decomposition
  Mintong Kang*, Linyi Li*, Maurice Weber, Yang Liu, Ce Zhang, Bo Li
  [NeurIPS 2022] (Spotlight) (Thirty-sixth Conference on Neural Information Processing Systems)
  [PDF] [Code]

• Fairness in Federated Learning via Core-Stability
  Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta
  [NeurIPS 2022] (Spotlight) (Thirty-sixth Conference on Neural Information Processing Systems)
  [PDF] [Code]

• Label-Assemble: Leveraging Multiple Datasets with Partial Labels
  Mintong Kang, Yongyi Lu, Alan L. Yuille, Zongwei Zhou
  [IBSI 2023] (IEEE International Symposium on Biomedical Imaging 2023)
  [PDF] [Code] [Slide]

• FaShapley: Fast and Approximated Shapley Based Model Pruning Towards Certifiably Robust DNNs
  Mintong Kang, Linyi Li, Bo Li
  [SaTML 2023] (IEEE Conference on Secure and Trustworthy Machine Learning 2023)
  [PDF] [Code]

• MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
  Hanbin Zhao, Yongjian Fu, Mintong Kang, Qi Tian, Fei Wu, Xi Li
  [TPAMI 2021] (IEEE Transactions on Pattern Analysis and Machine Intelligence 2021)
  [PDF] [Code]

Services

• Conference Reviewers: ICML 2022-2024; NeurIPS 2022-2024; ICLR 2024; CVPR 2023-2024; KDD 2023; AAAI 2025.
• Workshop organizer: KLR@ICML 2023.

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